Senior Data Engineer Contract with Databricks

Transform data engineering practices as a Senior Data Engineer on a six-month contract. Focus on building cloud-based data platforms with Databricks, AWS, and contributing to AI and machine learning initiatives. In this role, you will be instrumental in transitioning to a Databricks-powered data ecosystem. Your work will involve designing scalable data pipelines and optimizing data processes. Collaborate with various teams to implement best practices in data quality, observability, and governance. Key Responsibilities: • Build and maintain cloud data platforms and pipelines • Optimize ETL/ELT processes with modern engineering methods • Develop Databricks-based solutions leveraging Spark technologies • Enable robust MLOps workflows through data engineering • Support CI/CD automation for analytics workloads Requirements: • Minimum 5 years of experience in Data Engineering • Expertise in Python and SQL programming • Hands-on experience within AWS environments • Thorough knowledge of Spark and Delta Lake • Excellent communication and teamwork abilities Utilize your skills to drive significant impact in data engineering and mentor the next generation of engineers.